Özet
Boundary delineation is a rapidly evolving, significant research issue. It can be defined as identifying individual agricultural parcels and accurately outline their borders. Boundary delineation plays an important role in various application related to smart agriculture and precision farming. In this paper, a one stage deep learning method is utilized for boundary delineation. This is done by performing transfer learning and fine tuning the network using thousands of parcels. Later, the result of this network is compared to state-of-the-art models using spatially/temporally different dataset. The results are later discussed using common metrics.
| Orijinal dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 609-612 |
| Sayfa sayısı | 4 |
| ISBN (Elektronik) | 9786050114379 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 2021 |
| Etkinlik | 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey Süre: 25 Kas 2021 → 27 Kas 2021 |
Yayın serisi
| Adı | 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
|---|
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| ???event.eventtypes.event.conference??? | 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Virtual, Bursa |
| Periyot | 25/11/21 → 27/11/21 |
Bibliyografik not
Publisher Copyright:© 2021 Chamber of Turkish Electrical Engineers.
BM SKH
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